Image Based Periocular Biometeric Recognition Using Python

Conference: 3rd International Conference on Innovations in Electrical, Information and Communication Engineering
Author(s): V.Sivasakthi M.E, A.Pragadeeswari, R.Samla, P.Vishali Year: 2021
Grenze ID: 02.ICIEICE.2021.1.12 Page: 66-69

Abstract

The Security is one of the main problems of concern among the people. Biometrics is\nrobotic method of identifying a person based on physiological or behavioral uniqueness.\nPeriocular biometric refers to the facial region in the immediate vicinity of the eye. Acquisition\nof the periocular biometric does not require high user cooperation and close capture distance\nunlike other ocular biometrics Image based periocular recognition is an automated method of\nbiometric identification that uses ICP (Iterative Closest Point algorithm) ,Curvelet transform\nand Deep neural network techniques on images of an individual’s eyes. Camera based\nimplementation instead of Scanner implementation is to reduce the cost. Parallel classification\nusing Neural network gives a modal security. Periocular-based methods are used as alternative\nmeans of biometric authentication because they do not require expensive equipment. Compared\nto the fine pattern of the iris, these features (sclera, eye lash, eye shape and eyelids) can be used\nfor identification because they do not require a high resolution image and differ for each\nperson.

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ICIEICE - 2021